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Downregulation Of Mir-34a Via Calorie Restriction Regulates Lipid Metabolism In The Liver Of Long-Living Ames Dwarf Mice, Sarah Ashiqueali

Electronic Theses and Dissertations, 2020-2023

Ames dwarf mice (df/df) display delayed aging relative to their normal siblings, living approximately 40-60% longer. As such, investigating the mechanisms that enable these organisms to have superior life expectancies may prove useful in developing therapies to slow aging and deter age-related disease. Nonalcoholic fatty liver disease (NAFLD) is a condition that is characterized by the accumulation of excess adipose tissue in the liver. Interestingly, its prevalence tends to increase with age with an incidence rate of greater than 40% in individuals over the age of 60. Previous studies highlight the potential of calorie restriction (CR) in promoting longevity, but …

Periodicity Estimation Using Representations In Nested Periodic Dictionaries With Applications In Neural Engineering, Pouria Saidi

Electronic Theses and Dissertations, 2020-2023

In this dissertation, we investigate periodicity estimation with nested periodic dictionaries (NPDs), a newly introduced family of matrices that can capture periodicity in the data. We address two main problems. First, we study the detection of periodic signals using their representations in NPDs. To this end, the detection problem is posed as a composite hypothesis testing problem, where the signals are assumed to admit sparse representations in a Ramanujan Periodicity Transform (RPT) dictionary as an instance of NPDs. For the binary case, we develop a generalized likelihood ratio detector and obtain exact distributions of the test statistics in terms of …

Influence Of Body Composition, Velocity Profiles, And Sex-Related Differences On Army Combat Fitness Test Performance, David Boffey

Electronic Theses and Dissertations, 2020-2023

The Army Combat Fitness Test (ACFT) will become the United States Army's mandatory physical fitness test in March of 2022. The purpose of this study was to determine the relationship between ACFT performance and both body composition and velocity profiles, and to determine sex differences for these variables. Data was collected in November 2020 (Fall) and March 2021 (Spring) from male (n = 55) and female (n = 17) Army Reserve Officers' Training Corps (ROTC) cadets. Body composition was assessed with a bioelectrical impedance spectroscopy (BIS) device, and cadets completed a squat jump (SJ) force-velocity profile (FVP) and a hex …

The Relationship Between College Students' Level Of Alcohol Use And Their Grit, Personal Growth Initiatives, And Emotion Regulation Scores Using Structure Equation Modeling, Gelawdiyos Haile

Electronic Theses and Dissertations, 2020-2023

The purpose of this study was to examine the directional relationship between college students' level of grit, personal growth initiative, cognitive reappraisal emotion regulation strategy, and their level of harmful alcohol consumption and related problems. This study tested the theoretical structure model that college students' (N = 356) level of grit (as measured by the Grit Short Scale [Grit-S; Duckworth & Quinn, 2009]), personal growth initiative (PGI; as measured by the Personal Growth Initiative Scale-II [PGIS-II; Robitschek et al., 2012]), and cognitive reappraisal emotion regulation strategy (as measured by the Emotion Regulation Questionnaire [ERQ; Gross & John, 2003]) contribute to …

On The Strategic Relationship Between Leadership And Innovation In Us Firms, Shabeer Kirmani

Electronic Theses and Dissertations, 2020-2023

Leadership is one of the most important factors in organizational success. Innovation is another of most important factors in organizational success. Leaders play a pivotal role in the innovation capabilities of organizations. One of the most important areas in Leadership Studies (LS) is the association between leadership style and the firm's innovation performance, but a lack of understanding and consensus still remains as a major issue. This research aims to address the research gap by reviewing the empirical literature and determining how the ambidextrous leadership (transactional and transformational) styles in top level U.S. management (CEOs) are related with firm ambidextrous …

Understanding Discourse Of Co-Teachers In Middle School Mathematics Inclusive Classrooms, Amanda Lannan

Electronic Theses and Dissertations, 2020-2023

The researcher in this study investigated the verbal discourse moves of co-teachers in middle school mathematics classrooms to solicit students' mathematical thinking with a specific focus on students with disabilities. In this examination of two classrooms, students received high-level mathematics instruction from expertly trained co-teachers. A quantitative analysis of the video transcripts using a validated tool for coding teacher behaviors was used to examine the content and context of mathematical discourse in each of the classrooms. The researcher examined qualitative data using a critical discourse framework. Three themes emerged from the discourse analysis: (a) empowerment of co-teachers, (b) strategic use …

Male Students Of Color In Stem Through The Lens Of Intersectionality: A Transformative Mixed-Methods Exploration Of Their Science Identities, Relevant Science Learning Experiences, And Decisions To Pursue Science Professions, Regina Mccurdy

Electronic Theses and Dissertations, 2020-2023

The purpose of this 3-phase transformative mixed-methods study was to use intersectionality theoretical framework to explore the science identities and relevant science learning experiences of male students of color (MSOCs) in STEM and their decisions to pursue science professions after college. Phase 1 utilized a researcher-developed survey to analyze differences in science identity scores (SIS), science relevancy scores (SRS), and decisions to pursue science professions of 702 diverse college students enrolled in STEM-related courses at a state college in Southeast United States. While there were no statistically significant differences in SIS and SRS scores regarding race/ethnicity or socioeconomic factors, statistical …

Energy-Efficient In-Memory Architectures Leveraging Intrinsic Behaviors Of Embedded Mram Devices, Shadi Sheikhfaal

Electronic Theses and Dissertations, 2020-2023

For decades, innovations to surmount the processor versus memory gap and move beyond conventional von Neumann architectures continue to be sought and explored. Recent machine learning models still expend orders of magnitude more time and energy to access data in memory in addition to merely performing the computation itself. This phenomenon referred to as a memory-wall bottleneck, is addressed herein via a completely fresh perspective on logic and memory technology design. The specific solutions developed in this dissertation focus on utilizing intrinsic switching behaviors of embedded MRAM devices to design cross-layer and energy-efficient Compute-in-Memory (CiM) architectures, accelerate the computationally-intensive operations …

Classification Of Ground-Truth Fire Debris Samples Using Neural Networks, Nicholas Thurn

Electronic Theses and Dissertations, 2020-2023

Fire debris samples are currently analyzed according to ASTM E1618-19, which is the "Standard Test Method for Ignitable Liquid Residues in Extracts from Fire Debris Samples by Gas Chromatography-Mass Spectrometry." This method requires that an analyst make a visual comparison to an appropriate reference sample using the total ion and the extracted ion chromatograms. The analyst then provides an opinion about whether an ignitable liquid residue is present in the sample. The method is inherently subjective due to the visual interpretation that is needed. In order to automate this process, this work uses neural networks and a subset of the …

High-Density Neurochemical Microelectrode Array To Monitor Neurotransmitter Secretion, Kevin White

Electronic Theses and Dissertations, 2020-2023

Neuronal exocytosis facilitates the propagation of information through the nervous system pertaining to bodily function, memory, and emotions. Using amperometry, an electrochemical technique that directly detects electroactive molecules, the sub-millisecond dynamics of exocytosis are revealed and the modulation of neurotransmitter secretion due to neurodegenerative diseases or pharmacological treatments can be studied. The method of detection using amperometry is the exchange of electrons due to a redox reaction at an electrochemically sensitive electrode. As electroactive molecules, such as dopamine, undergo oxidation, electrons are released from the molecule to the electrode and an oxidation current is generated and recorded. Despite the significance …

Incinerator Ash Characterization - Implications For Elevated Temperature Landfills, Angel Villarruel-Moore

Electronic Theses and Dissertations, 2020-2023

The occurrence of temperatures in municipal solid waste (MSW) landfill gas (LFG) extraction systems in excess of 55°C is a problem that has gained much attention in the solid waste industry, both domestically and globally. Facilities which frequently experience such temperatures are termed Elevated Temperature Landfills (ETLFs), and recent research conducted at the University of Central Florida (UCF) has provided strong evidence that ash, both MSW incinerator ash (MSWIA) and coal combustion ash (CCA), when co-disposed with unburned MSW, provides materials which are able to participate in abiotic exothermic reactions that may lead to the development or sustainment of ETLFs. …

Using Geographic Information Systems To Analyze The Effects Of Residential Location On Student Academic Success, Courtney Wilson

Electronic Theses and Dissertations, 2020-2023

Purpose: This study aims to assess the impact of social disorganization indicators (i.e., employment, median-household income, owner-occupied housing, crime, poverty, and minority percentage) on academic performance (i.e., GPA) for 6th and 7th-grade students attending seven K-8 designated Orange County Public Schools (OCPS) in central Florida. Methods: A hot spot cluster analysis was used to identify areas where high and low GPA clustering occurs based on the individual block level GPA data obtained from OCPS. Visual map comparison of cluster results and social disorganization indicators were used to understand if high GPA cluster outcomes occur in areas of social disorganization. Moreover, …

Chitosan-Gallium Nanocomposite: Synthesis, Characterization And Antibacterial Activity, Samjhana Bhandari

Electronic Theses and Dissertations, 2020-2023

The emergence of multidrug-resistant (MDR) strains of bacteria and the lack of a novel class of antibiotics has become a global health concern. Pseudomonas aeruginosa is one common MDR bacteria responsible for nosocomial infections and related mortality worldwide. It has developed resistance against commonly available antibiotics and is in the WHO's priority list of bacteria for which new antibiotics are desperately needed. Currently there is a growing interest in developing metal and non-metal-based nanoparticles to target multidrug-resistant bacteria. The objective of this study is to evaluate the efficacy of a novel nanocomposite of two non-traditional antimicrobials: a metal (Ga-III) and …

Influence Of Geography On The Healthy Gut Microbiome And The Role Of The Gut Microbiome In Ibd Symptom And Disease Progression, Sayf Al-Deen Hassouneh

Electronic Theses and Dissertations, 2020-2023

The human gut microbiome is believed to play an integral role in host health and disease. In a microbial community, associations between constituent members play an important role in determining the overall structure and function of the community. To understand the nature of bacterial associations at the species level in healthy human gut microbiomes, we analyzed previously published collections of whole-genome shotgun sequence data, from fecal samples obtained from four different healthy human populations. Using a Random Forest Classifier, we identified bacterial species that were prevalent in these populations and whose relative abundances could be used to accurately distinguish between …

Applying Machine Learning Techniques To Improve Safety And Mobility Of Urban Transportation Systems Using Infrastructure- And Vehicle-Based Sensors, Zubayer Islam

Electronic Theses and Dissertations, 2020-2023

The importance of sensing technologies in the field of transportation is ever increasing. Rapid improvements of cloud computing, Internet of Vehicles (IoV), and intelligent transport system (ITS) enables fast acquisition of sensor data with immediate processing. Machine learning algorithms provide a way to classify or predict outcomes in a selective and timely fashion. High accuracy and increased volatility are the main features of various learning algorithms. In this dissertation, we aim to use infrastructure- and vehicle-based sensors to improve safety and mobility of urban transportation systems. Smartphone sensors were used in the first study to estimate vehicle trajectory using lane …

Genomic And Physiological Bioremediation Characteristics Of The Actinobacteria Frankia, Erik Swanson

Doctoral Dissertations

Introduction: Frankia is a genus of symbiotic, nitrogen fixing actinobacteria found in the soil and root tissue of actinorhizal plants throughout the world. Both Frankia and actinorhizal plants are resistant to a wide range of environmental and chemical stresses including heavy metals, high salinity, and drought. This makes Frankia and the actinorhizal symbiosis an interesting candidate for bioremediation applications. However, the microbial community found in the actinorhizal rhizosphere and surrounding soil has been implicated in some of the symbiotic and resistance traits attributed to Frankia. This necessitates thorough investigation of the genomic and genetic components of any bioremediation traits possessed …

From An Insect To The Classroom: Evolutionary Insights Into The Ecological And Behavioral Impacts Of Experience, Brooke Kathleen Woelber-Kastner

Doctoral Dissertations

Organisms exhibit suites of life history traits which enable them to respond to environmental stimuli and increase fitness. However, the relationship between organism traits and the environment is not unidirectional, rather they are in a state of constant interaction. To further our understanding of the interactions between the environment and organism phenotypes, this dissertation focuses on a group of insect scavengers, the burying beetles (Coleoptera: Silphidae: Nicrophorus) which utilize carrion to initiate reproduction and feed developing young. Here I apply ecological and molecular methodologies to demonstrate that behaviors provide an important ecological service by sequestering carrion in forest ecosystems. I …

Becoming Scientists: Undergraduate Students' Literacy Activities In Laboratory Education, Allison Giannotti

Doctoral Dissertations

In laboratory courses across universities, undergraduate students are learning to act, think, and write like professional scientists. Yet, despite the centrality of language and literacy in laboratory experiments, the process of becoming scientifically literate remains ambiguous. Thus, my dissertation examines how university laboratory courses foster undergraduate students’ emergence as literate professionals and competent communicators in science, technology, engineering, and math (STEM) fields. In particular, it examines undergraduate students’ literate practices, how they change over time, and how they are affected by material and experimental processes in three sequenced, chemistry laboratory courses. Through laboratory observations and interviews with undergraduate students, faculty, …

Carbon Emissions From Streams And Rivers: Integrating Methane Emission Pathways And Storm Carbon Dioxide Emissions Into Stream And River Carbon Balances, Andrew Robison

Doctoral Dissertations

River networks play an important role in elemental cycling at watershed, regional, and global scales. They not only serve as pipes that transport elements from land to sea, but also as complex processers that can significantly modify the timing, form, and magnitude of these elemental fluxes. For example, recent studies have shown that river networks contribute significantly to the global carbon cycle by emitting greenhouse gases like carbon dioxide (CO¬2) and methane (CH4) to the atmosphere. However, we currently do not fully understand the controls on GHG emissions from river networks, particularly what drives the variability of emissions across space …

Utilization Of Exotic Germplasm In A Cucurbita Breeding Program, Andrew Burkeland Ogden

Doctoral Dissertations

Crops in the Cucurbitaceae plant family are an important part of agricultural systems worldwide. This family includes economically important crops such as watermelon, cucumber, pumpkins, melons, and squash. These crops are plagued by a wide variety of both insect and plant pathogen pests. Breeding for genetic resistance to these pests represents a key component of many cucurbit breeding programs in both public and private sectors. Sources for disease and pest resistance often include wild species and landraces found across the world. Often, such species show poor adaptability to temperate climates. This limits plant breeders’ abilities to utilize exotic germplasm and …

Synthesis Of Thioacids And Dicarboxylic Acids Derived From Open Β-Lactams For Inhibition Of Metallo-Β-Lactamases, Junfu Chen

Doctoral Dissertations

Antibiotics are important substances that have been used in clinical treatment for over 70 years. Because of overuse and misuse of antibiotics, bacteria developed resistance. However, bacterial resistance towards antibiotics, especially the β-lactam antibiotics, is becoming increasingly threat. Currently, the β-lactam antibiotics are seriously threatened by β-lactamases. Metallo-β-lactamases (MBLs), a sub-class of β-lactamases, have been found in several bacteria since they confer resistance to many different β-lactams, and as a result, the bacteria survive in their presence. A potential treatment is to synthesize inhibitors of MBLs, however, there are no inhibitors synthesized in clinical use. The goal of this project …

High Level Learning Using The Temporal Features Of Human Demonstrated Sequential Tasks, Madison Brandywine Clark-Turner

Doctoral Dissertations

Modelling human-led demonstrations of high-level sequential tasks is fundamental to a number of practical inference applications including vision-based policy learning and activity recognition. Demonstrations of these tasks are captured as videos with long durations and similar spatial contents. Learning from this data is challenging since inference cannot be conducted solely on spatial feature presence and must instead consider how spatial features play out across time. To be successful these temporal representations must generalize to variations in the duration of activities and be able to capture relationships between events expressed across the scale of an entire video.

Contemporary deep learning architectures …

Molecular Architecture Of Rod Photoreceptor Phosphodiesterase In Its Nonactivated And G-Protein Activated States, Michael Irwin

Doctoral Dissertations

The photoreceptor phosphodiesterase (PDE6) plays an important role in the G-protein coupled visual signaling pathway which uses cGMP as a second messenger to convert light stimuli into electrical signals. PDE6 is a tetrameric peripheral membrane protein consisting of two catalytic subunits and two inhibitory subunits and is localized to the outer segment membranes of rod and cone photoreceptors. Mutations in this enzyme are one cause of retinitis pigmentosa and other retinal degenerative diseases resulting in blindness or visual dysfunction that lack adequate therapeutic intervention due to inadequate knowledge of PDE6 structure and regulation PDE6 is tightly regulated in the nonactivated …

Biologically Inspired Computer Vision/ Applications Of Computational Models Of Primate Visual Systems In Computer Vision And Image Processing, Reza Hojjaty Saeedy

Doctoral Dissertations

Biologically Inspired Computer VisionApplications of Computational Models of Primate Visual Systems in Computer Vision and Image Processing Reza Hojjaty Saeedy Abstract Biological vision systems are remarkable at extracting and analyzing the information that is essential for vital functional needs. They perform all these tasks with both high sensitivity and strong reliability. They can efficiently and quickly solve most of the difficult computa- tional problems that are still challenging for artificial systems, such as scene segmentation, 3D/depth perception, motion recognition, etc. So it is no surprise that biological vision systems have been a source of inspiration for computer vision problems. In …

The Effect Of Deep-Water Multibeam Mapping Activity On The Foraging Behavior Of Cuvier’S Beaked Whales And The Marine Acoustic Environment, Hilary Suzanne Curran Kates Varghese

Doctoral Dissertations

Sound can propagate great distances underwater and is an important mode for marine life to obtain information. Human activities in the ocean such as global shipping, coastal construction, gas and oil exploration, and mapping navigation routes intentionally and unintentionally emit sound into the ocean, potentially interacting with marine life. Therefore, it is essential that the effects of anthropogenic noise on marine life and the ambient marine acoustic environment be understood. Most of the work, to date, has focused on the impact of low-frequency (<1 kHz) sources such as shipping noise, which is ubiquitous in the ocean, and mid-frequency (1-10 kHz) sources such as naval sonar, to which many marine mammals have shown to be sensitive. The effect of these sources can be as salient as a mass stranding event or as benign as an animal swimming away from a source of noise with no other effect. Less work has focused on higher frequency sources (>10 kHz), including ocean-mapping sonar systems. However, most marine mammals, namely toothed whales (odontocetes), are capable …

Ligand Design In C-Functionalized Cobalt Cyclams For Hybrid Photocatalytic Co2 Reduction, Ethan Edward Jarvis

Doctoral Dissertations

Global climate change is one of the most significant risks to both the planet and all life on it. The largest contributor to this ever-growing threat is CO2 and its continued emission into the atmosphere. As a result, many scientists are researching CO2 reduction processes to help slow and potentially reverse the climate change by reducing the atmospheric levels of CO2. Ideally, these reduction processes convert CO2 into useful materials such as hydrocarbon-based fuels such as methanol or ethanol, which could also help remove our dependence on finite natural energy resources. CO2 reduction is challenging to do efficiently however, due …

The Banner - V. 156, No. 1 - (January 2021), Christian Reformed Church In North America

The Banner

No abstract provided.

Mental Health Care Disparity: The Highs And Lows Of Parity, Julie Gabella

Health Matrix: The Journal of Law-Medicine

Outstanding Note of the Year (2020)

2021-2022 Halmos College Of Arts And Sciences Graduate Program Catalog, Nova Southeastern University

Halmos College of Arts and Sciences Course Catalogs

No abstract provided.

Naturally Occurring Rock Type Influences The Settlement Of Fucus Spiralis L. Zygotes, William G. Ambrose, Paul E. Renaud, David C. Adler, Robert L. Vadas

Marine Science

The settlement of spores and larvae on hard substrates has been shown to be influenced by many factors, but few studies have evaluated how underlying bedrock may influence recruitment. The characteristics of coastal rock types such as color, heat capacity, mineral size, and free energy have all been implicated in settlement success. We examined the influence of naturally occurring rock types on the initial attachment of zygotes of the brown alga Fucus spiralis Linnaeus 1753. We also assessed the dislodgment of zygotes on four bedrock types after initial attachment in laboratory experiments using wave tanks. Settling plates were prepared from …